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GopPy (Gaussian Online Processes for Python) is a pure Python module providing a Gaussian process implementation which allows to efficiently add new data online.

Project description

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Overview

GopPy (Gaussian Online Processes for Python) is a pure Python module providing a Gaussian process implementation which allows to add new data efficiently online. I wrote this module because all other Python implementations I knew did not support efficient online updates.

The feature list:

  • scikit-learn compatible interface.
  • Efficient online updates.
  • Prediction of first order derivatives.
  • Estimation of the log likelihood and its derivative.
  • Well documented.
  • Good test coverage.
  • Supports Python 2.6, 2.7, 3.3, 3.4, and 3.5. Later versions are likely to work as well.
  • MIT license.

Documentation

The documentation can be found at https://goppy.readthedocs.io/en/latest/.

Installation

You can install GopPy with pip:

pip install goppy

Or you download the latest source distribution from PyPI, extract it and run:

python setup.py install

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
GopPy-1.0.2.tar.gz (16.8 kB) Copy SHA256 hash SHA256 Source None Jul 17, 2016

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